Figs (FIGS) Non-Current Assets (2020 - 2026)
Figs (FIGS) recorded Non-Current Assets of $129.75 million in Q2 2026, up 5.1% from $123.51 million a year earlier but down 1.1% from the prior quarter.
Powered by 
Analysis
Figs (FIGS) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Figs reported Non-Current Assets of $132.71 million, up 4.5% from FY2024.
- Annual Non-Current Assets has increased for five straight years, with a five-year compound annual growth rate of 57.9% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $127.02 million in FY2024 (+45.1%), $87.55 million in FY2023 (+127.0%), $38.56 million in FY2022 (+109.5%) and $18.41 million in FY2021 (+36.0%).
- Quarterly Non-Current Assets has ranged from $15.9 million in Q3 2021 to $132.71 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for 17 consecutive quarters, with growth averaging 30.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 4.5% in Q4 2025 to 250.6% in Q2 2022.
- Per Business Quant, the preceding three quarters came in at $131.25 million (Q1 2026), $132.71 million (Q4 2025) and $126.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Figs | 3.31 Bn | 2.20 Bn | 147.86 Mn | 129.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.75 Mn |
| Mar 31, 2026 | 131.25 Mn |
| Dec 31, 2025 | 132.71 Mn |
| Sep 30, 2025 | 126.72 Mn |
| Jun 30, 2025 | 123.51 Mn |
| Mar 31, 2025 | 122.60 Mn |
| Dec 31, 2024 | 127.02 Mn |
| Sep 30, 2024 | 108.19 Mn |
| Jun 30, 2024 | 108.78 Mn |
| Mar 31, 2024 | 105.36 Mn |
| Dec 31, 2023 | 87.55 Mn |
| Sep 30, 2023 | 46.74 Mn |
| Jun 30, 2023 | 41.77 Mn |
| Mar 31, 2023 | 38.49 Mn |
| Dec 31, 2022 | 38.56 Mn |
| Sep 30, 2022 | 39.75 Mn |
| Jun 30, 2022 | 37.74 Mn |
| Mar 31, 2022 | 36.36 Mn |
| Dec 31, 2021 | 18.41 Mn |
| Sep 30, 2021 | 15.90 Mn |
API Access
Figs Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-assets&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "FIGS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();